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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm
|
|---|---|
| Published in |
Nature Protocols, June 2009
|
| DOI | 10.1038/nprot.2009.86 |
| Pubmed ID | |
| Authors |
Prateek Kumar, Steven Henikoff, Pauline C Ng |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,750 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 41 | 1% |
| United Kingdom | 15 | <1% |
| Germany | 11 | <1% |
| Netherlands | 9 | <1% |
| Canada | 8 | <1% |
| Switzerland | 5 | <1% |
| Brazil | 5 | <1% |
| France | 4 | <1% |
| India | 4 | <1% |
| Other | 34 | 1% |
| Unknown | 2614 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 637 | 23% |
| Researcher | 512 | 19% |
| Student > Master | 358 | 13% |
| Student > Bachelor | 293 | 11% |
| Other | 124 | 5% |
| Other | 450 | 16% |
| Unknown | 376 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 949 | 35% |
| Biochemistry, Genetics and Molecular Biology | 657 | 24% |
| Medicine and Dentistry | 325 | 12% |
| Computer Science | 111 | 4% |
| Immunology and Microbiology | 39 | 1% |
| Other | 211 | 8% |
| Unknown | 458 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 October 2023.
All research outputs
#1,409,314
of 25,837,817 outputs
Outputs from Nature Protocols
#439
of 2,972 outputs
Outputs of similar age
#4,120
of 126,701 outputs
Outputs of similar age from Nature Protocols
#2
of 26 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,972 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 126,701 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.